Back to Search Start Over

IoT based intelligent tracking, early-warning & management (ITEM) tool for efficient milk transportation in dairy industry.

Authors :
Avhale, G. V.
Shaligram, A. D.
Gharpure, D. C.
Shaligram, Arvind D.
Gharpure, Damayanti C.
Gaol, Ford Lumban
Sharma, Niti Nipun
Source :
AIP Conference Proceedings. 2020, Vol. 2335 Issue 1, p1-6. 6p.
Publication Year :
2020

Abstract

The dairy industry in India has more economic importance, therefore need to be taken care by using modern technologies. The milk is transported from various milk collection centers to the dairy processing plant, through the insulated milk tankers. Where milk is tested and checked whether it is spoiled or not. The probability of the milk spoilage will increase during transportation, because of the rise in milk temperature plus the transportation time taken to reach at the dairy. The temperature is important because the rate of growth of harmful bacteria increases with an increase in temperature and that will spoil the milk. Also the transportation time mainly depends on the traffic on the road and the driver's punctuality. If there is no cooling system available on the tanker transportation time is of very much importance. The milk spoilage causes huge economic losses to the dairy and it affects every stakeholder, hence there is a need of a system which will monitored milk tanker during transportation. In this paper, the development of an Internet of Things (IoT) technology based Intelligent Tracking, Early-warning & Management (ITEM) tool is elaborated, which is used to track the route of the tanker and temperature of the milk. This tool also helps to minimize the chances of milk spoilage by sending early warning messages. Moreover, tool will greatly assist to tackle the problems in milk transportation, avoid economic losses and helps for the betterment of the dairy industry. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2335
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
149242848
Full Text :
https://doi.org/10.1063/5.0043687